Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control-Reference-Cited by-同舟云学术

Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control

Published:2023-09 Issue:9 Volume:10 Page:1797-1809
ISSN:2329-9266
Container-title:IEEE/CAA Journal of Automatica Sinica
language:
Short-container-title:IEEE/CAA J. Autom. Sinica

Author:

Wang Ding¹,Wang Jiangyu¹,Zhao Mingming¹,Xin Peng¹,Qiao Junfei¹

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology, the Beijing Key Laboratory of Computational Intelligence and Intelligent System, the Beijing Laboratory of Smart Environmental Protection, and the Beijing Institute of Artificial Intelligence,Beijing,China,100124

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization

Link

http://xplorestaging.ieee.org/ielx7/6570654/10219075/10219081.pdf?arnumber=10219081

Reference43 articles.

1. Approximate Dynamic Programming

2. Reinforcement learning and adaptive dynamic programming for feedback control

3. Model-Free Optimal Tracking Control of Nonlinear Input-Affine Discrete-Time Systems via an Iterative Deterministic Q-Learning Algorithm

4. Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems

5. Approximate dynamic programming for real-time control and neural modeling;werbos;Handbook of Intelligent Control Neural Fuzzy and Adaptive Approaches,1992

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